Michael Draugelis
Artificial Intelligence · 2017
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it; #29,907 of 35,345 by trust here, #16,471 by citations
- Epidemiology — 11 citations into it; #1,445 of 2,148 by trust here, #1,250 by citations
- Biomedical Engineering — 9 citations into it
- Surgery — 7 citations into it
Whom Michael Draugelis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Michael Draugelis overall
Papers from Michael Draugelis's perspective
Ordered by how strongly the researchers Michael Draugelis trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Learning representations by back-propagating errors
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Scikit-learn: Machine Learning in Python
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- Multi-task Gaussian Process Prediction
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units (2017) — 196 citations
- Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction (2017) — 36 citations